Methods in Detail

About the 2014 Spring Pew Global Attitudes Survey

Results for the survey are based on telephone and face-to-face interviews conducted under the direction of Princeton Survey Research Associates International. Survey results are based on national samples. For further details on sample designs, see below.

The descriptions below show the margin of sampling error based on all interviews conducted in that country. For results based on the full sample in a given country, one can say with 95% confidence that the error attributable to sampling and other random effects is plus or minus the margin of error. In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.

Country:

Argentina

Sample design:

Multi-stage cluster sample stratified by locality size

Mode:

Face-to-face adults 18 plus

Languages:

Spanish

Fieldwork dates:

April 17 – May 11, 2014

Sample size:

1,000

Margin of error:

+/-3.9 percentage points

Representative:

Adult population (excluding dispersed rural population, or 6.5% of the population)

Adult population (excluding Tibet, Xinjiang, Hong Kong and Macau, or about 2% of the population). Disproportionately urban. The data were weighted to reflect the actual urbanity distribution in China.

Note:

The results cited are from Horizonkey’s self-sponsored survey.

Country:

Colombia

Sample design:

Multi-stage cluster sample stratified by region and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Spanish

Fieldwork dates:

April 12 – May 8, 2014

Sample size:

1,002

Margin of error:

+/-3.5 percentage points

Representative:

Adult population (excluding region formerly called the National Territories and the islands of San Andres and Providencia, or about 4% of the population)

Country:

Egypt

Sample design:

Multi-stage cluster sample stratified by governorate and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Arabic

Fieldwork dates:

April 10 – April 29, 2014

Sample size:

1,000

Margin of error:

+/-4.3 percentage points

Representative:

Adult population (excluding frontier governorates, or about 2% of the population)

Country:

El Salvador

Sample design:

Multi-stage cluster sample stratified by department and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Spanish

Fieldwork dates:

April 28 – May 9, 2014

Sample size:

1,010

Margin of error:

+/-4.5 percentage points

Representative:

Adult population

Country:

France

Sample design:

Random Digit Dial (RDD) sample of landline and cell phone households with quotas for gender, age and occupation and stratified by region and urbanity

Mode:

Telephone adults 18 plus

Languages:

French

Fieldwork dates:

March 17 – April 1, 2014

Sample size:

1,003

Margin of error:

+/-4.1 percentage points

Representative:

Telephone households (roughly 99% of all French households)

Country:

Germany

Sample design:

Random Digit Dial (RL(2)D) probability sample of landline households, stratified by administrative district and community size, and cell phone households

Mode:

Telephone adults 18 plus

Languages:

German

Fieldwork dates:

March 17 – April 2, 2014

Sample size:

1,000

Margin of error:

+/-4.0 percentage points

Representative:

Telephone households (roughly 99% of all German households)

Country:

Ghana

Sample design:

Multi-stage cluster sample stratified by region and settlement size

Mode:

Face-to-face adults 18 plus

Languages:

Akan (Twi), English, Dagbani, Ewe

Fieldwork dates:

May 5 – May 31, 2014

Sample size:

1,000

Margin of error:

+/-3.8 percentage points

Representative:

Adult population

Country:

Greece

Sample design:

Multi-stage cluster sample stratified by region and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Greek

Fieldwork dates:

March 22 – April 9, 2014

Sample size:

1,000

Margin of error:

+/-3.7 percentage points

Representative:

Adult population (excluding the islands in the Aegean and Ionian Seas, or roughly 6% of the population)

Country:

India

Sample design:

Multi-stage cluster sample stratified by region and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Hindi, Bengali, Tamil, Telugu, Marathi, Kannada, Gujarati, Odia

Fieldwork dates:

April 14 – May 1, 2014

Sample size:

2,464

Margin of error:

+/-3.1 percentage points

Representative:

Adult population in 15 of the 17 most populous states (Kerala and Assam were excluded) and the Union Territory of Delhi (roughly 91% of the population). Disproportionately urban. The data were weighted to reflect the actual urbanity distribution in India.

Country:

Indonesia

Sample design:

Multi-stage cluster sample stratified by province and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Bahasa Indonesian

Fieldwork dates:

April 17 – May 23, 2014

Sample size:

1,000

Margin of error:

+/-4.0 percentage points

Representative:

Adult population (excluding Papua and remote areas or provinces with small populations, or 12% of the population)

Country:

Israel

Sample design:

Multi-stage cluster sample stratified by district, urbanity and socioeconomic status, with an oversample of Arabs

Mode:

Face-to-face adults 18 plus

Languages:

Hebrew, Arabic

Fieldwork dates:

April 24 – May 11, 2014

Sample size:

1,000 (597 Jews, 388 Arabs, 15 others)

Margin of error:

+/-4.3 percentage points

Representative:

Adult population (The data were weighted to reflect the actual distribution of Jews, Arabs and others in Israel.)

Adult population (excluding a small area in Beirut controlled by a militia group and a few villages in the south of Lebanon, which border Israel and are inaccessible to outsiders, or about 2% of the population)

Country:

Malaysia

Sample design:

Multi-stage cluster sample stratified by state and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Bahasa Malaysia, Mandarin Chinese, English

Fieldwork dates:

April 10 – May 23, 2014

Sample size:

1,010

Margin of error:

+/-3.8 percentage points

Representative:

Adult population (excluding difficult to access areas in Sabah and Sarawak, or about 7% of the population)

Country:

Mexico

Sample design:

Multi-stage cluster sample stratified by region and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Spanish

Fieldwork dates:

April 21 – May 2, 2014

Sample size:

1,000

Margin of error:

+/-4.0 percentage points

Representative:

Adult population

Country:

Nicaragua

Sample design:

Multi-stage cluster sample stratified by department and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Spanish

Fieldwork dates:

April 23 – May 11, 2014

Sample size:

1,008

Margin of error:

+/-4.0 percentage points

Representative:

Adult population (excluding residents of gated communities and multi-story residential buildings, or less than 1% of the population)

Country:

Nigeria

Sample design:

Multi-stage cluster sample stratified by region and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

English, Hausa, Yoruba, Igbo

Fieldwork dates:

April 11 – May 25, 2014

Sample size:

1,014

Margin of error:

+/-4.3 percentage points

Representative:

Adult population (excluding Adamawa, Borno, Cross River, Jigawa, Yobe, and some areas in Taraba, or roughly 12% of the population)

Country:

Pakistan

Sample design:

Multi-stage cluster sample stratified by province and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Urdu, Pashto, Punjabi, Saraiki, Sindhi

Fieldwork dates:

April 15 – May 7, 2014

Sample size:

1,203

Margin of error:

+/-4.2 percentage points

Representative:

Adult population (excluding the Federally Administered Tribal Areas, Gilgit-Baltistan, Azad Jammu and Kashmir for security reasons, areas of instability in Khyber Pakhtunkhwa [formerly the North-West Frontier Province] and Baluchistan, military restricted areas and villages with less than 100 inhabitants – together, roughly 18% of the population). Disproportionately urban. The data were weighted to reflect the actual urbanity distribution in Pakistan.

Country:

Palestinian territories

Sample design:

Multi-stage cluster sample stratified by region and urban/rural/refugee camp population

Mode:

Face-to-face adults 18 plus

Languages:

Arabic

Fieldwork dates:

April 15 – April 22, 2014

Sample size:

1,000

Margin of error:

+/-4.4 percentage points

Representative:

Adult population (excluding Bedouins who regularly change residence and some communities near Israeli settlements where military restrictions make access difficult, or roughly 5% of the population)

Country:

Peru

Sample design:

Multi-stage cluster sample stratified by region and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Spanish

Fieldwork dates:

April 11 – May 2, 2014

Sample size:

1,000

Margin of error:

+/-4.0 percentage points

Representative:

Adult population

Country:

Philippines

Sample design:

Multi-stage cluster sample stratified by region and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Tagalog, Cebuano, Ilonggo, Ilocano, Bicolano

Fieldwork dates:

May 1 – May 21, 2014

Sample size:

1,008

Margin of error:

+/-4.0 percentage points

Representative:

Adult population

Country:

Poland

Sample design:

Multi-stage cluster sample stratified by province and urbanity

Mode:

Face-to-face adults 18 plus

Languages:

Polish

Fieldwork dates:

March 17 – April 8, 2014

Sample size:

1,010

Margin of error:

+/-3.6 percentage points

Representative:

Adult population

Country:

Russia

Sample design:

Multi-stage cluster sample stratified by Russia’s eight geographic regions, plus the cities of Moscow and St. Petersburg, and by urban-rural status

Mode:

Face-to-face adults 18 plus

Languages:

Russian

Fieldwork dates:

April 4 – April 20, 2014

Sample size:

1,000

Margin of error:

+/-3.6 percentage points

Representative:

Adult population (excludes Chechen Republic, Ingush Republic and remote territories in the Far North – together, roughly 3% of the population)

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping America and the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts.